( en | de | ru )

 

Disambiguation of "Shen, Chaopeng"

Author of the publication

copydeleteadd this publication to your clipboard
From hydrometeorology to river water quality: can a deep learning model predict dissolved oxygen at the continental scale?

, , , , , , and . Environmental science & technology, 55 (4): 2357--2368 (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Shen Zhang

Shen Feng

Jian Shen

Liming Shen

Wei Shen

 

Other publications of authors with the same name

The Value of SMAP for Long-Term Soil Moisture Estimation With the Help of Deep Learning., , and . IEEE Trans. Geosci. Remote. Sens., 57 (4): 2221-2233 (2019)A Novel Filtering Method for Infrared Image., , , , and . ICYCSEE (1), volume 623 of Communications in Computer and Information Science, page 48-55. Springer, (2016)Constructing a Large-Scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates., , , , , , , , , and 1 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Continental-scale streamflow modeling of basins with reservoirs: a demonstration of effectiveness and a delineation of challenges., , , , , and . CoRR, (2021)Differentiable, learnable, regionalized process-based models with physical outputs can approach state-of-the-art hydrologic prediction accuracy., , , and . CoRR, (2022)A trans-disciplinary review of deep learning research for water resources scientists.. CoRR, (2017)ThreshNet: Segmentation Refinement Inspired by Region-Specific Thresholding., , and . CoRR, (2022)Bathymetry Inversion using a Deep-Learning-Based Surrogate for Shallow Water Equations Solvers., , and . CoRR, (2022)The geometry of flow: Advancing predictions of river geometry with multi-model machine learning., , , , , , , , , and . CoRR, (2023)Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions., , and . CoRR, (2019)